Format

Send to

Choose Destination
Bone Marrow Transplant. 2007 Aug;40(4):381-7. Epub 2007 Jun 11.

Competing risk analysis using R: an easy guide for clinicians.

Author information

1
Statistics Section, Department of Economy Finance and Statistics, University of Perugia, Perugia, Italy.

Abstract

In the last decade with widespread use of quantitative analyses in medical research, close co-operation between statisticians and physicians has become essential from the experimental design through all phases of complex statistical analysis. On the other hand, easy-to-use statistical packages allow clinicians to perform basic statistical analyses themselves. Since the software they most commonly use does not perform in depth competing risk analysis, we recommend an add-on package for the R statistical software. We provide all the instructions for downloading it from internet and illustrate how to use it for analysis of a sample dataset of patients who underwent haematopoietic stem cell transplantation for acute leukaemia.

PMID:
17563735
DOI:
10.1038/sj.bmt.1705727
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Nature Publishing Group
Loading ...
Support Center